Learn the data cleansing skills and processes necessary to ensure the integrity and quality of your data and why it’s essential for accurate analysis and reporting. Maintain data quality Data quality is paramount if you want to accurately analyze and report on data. Poor quality data can lead to inaccurate analysis and faulty decision-making. What does data cleansing do? Effective data cleansing improves the quality of your data, which allows you to: - Gain a greater insight within a shorter amount of time - Make more accurate data-based decisions - Provide credibility to your overall message You’ll learn what data cleansing is, and what steps and processes are applied to gathered data to ensure accuracy and ease of analysis to meet overall business and data analytics objectives. ## Real-world examples This course is tailored specifically to accounting and finance professionals. It uses a mixture of real-world examples and case studies relevant to your role to give you different ways to understand and apply knowledge learned throughout the course. This course is part three of the four-part Data Processing and Analysis Certificate. Who Will Benefit - AICPA & CIMA members who want to troubleshoot data in preparation for analysis - Global accounting and finance professionals - Controllers - Finance directors - CFOs - CPAs Key Topics - Understanding the role of data cleansing in a data analytics project - How to prepare for data cleansing - How to cleanse your data using appropriate tools and techniques - Understanding associated risks and considerations Learning Outcomes - Recognize the role of data cleansing within data analytics. - Recognize types of objectives for data cleansing and how data cleansing supports those objectives. - Determine different data types and file formats and how they affect data cleansing. - Recognize the key steps and techniques for cleansing and transforming the data. - Identify appropriate tools and potential risks for data cleansing. - Apply key data cleansing concepts to finance and accounting scenarios.